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Selection of disease-specific biomarkers by integrating inflammatory mediators with clinical informatics in AECOPD patients: a preliminary study.
MedLine Citation:
PMID:  21883889     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Background: Systemic inflammation is a major factor influencing the outcome and quality of patient with chronic obstructive pulmonary disease (COPD) and acute exacerbations (AECOPD). Due to the inflammatory complexity, a great challenge is still confronted to optimize the identification and validation of disease-specific biomarkers. The present study aimed at developing a new protocol of specific biomarker evaluation by integrating proteomic profiles of inflammatory mediators with clinical informatics in AECOPD patients, understand better their function and signal networks. Methods: Plasma samples were collected from healthy non-smokers or patients with stable COPD (sCOPD) or AECOPD on days 1 and 3 of the admission and discharging day (day 7-10). Fouty chemokines were measured using a chemokine multiplex antibody array. Clinical informatics was achieved by a Digital Evaluation Score System (DESS) for assessing severity of patients. Chemokine data was compared among different groups and its correlation with DESS scores was performed by SPSS software. Results: Of 40 chemokines, 30 showed significant difference between sCOPD patients and healthy controls, 16 between AECOPD patients and controls, and 13 between AECOPD patients and both sCOPD and controls, including BTC, IL-9,IL-18Bpa, CCL22,CCL23, CCL25, CCL28, CTACK, LIGHT, MSPa, MCP-3, MCP-4 and OPN. Of them, some had significant correlation with DESS scores. Conclusion: There is a disease-specific profile of inflammatory mediators in COPD and AECOPD patients which may have a potential diagnostics together with clinical informatics of patients. Our preliminary study suggested that integration of proteomics with clinical informatics can be a new way to validate and optimize disease-special biomarkers.
Authors:
Hong Chen; Zhenju Song; Mengjia Qian; Chunxue Bai; Xiangdong Wang
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-8-25
Journal Detail:
Title:  Journal of cellular and molecular medicine     Volume:  -     ISSN:  1582-4934     ISO Abbreviation:  -     Publication Date:  2011 Aug 
Date Detail:
Created Date:  2011-9-2     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101083777     Medline TA:  J Cell Mol Med     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2011 The Authors Journal of Cellular and Molecular Medicine © 2011 Foundation for Cellular and Molecular Medicine/Blackwell Publishing Ltd.
Affiliation:
Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China Biomedical Research Center, Zhongshan Hospital, Fudan University, Shanghai, China Emergency Department, Zhongshan Hospital, Fudan University, Shanghai, China.
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